{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T19:24:57Z","timestamp":1763839497748,"version":"build-2065373602"},"reference-count":68,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["41971060","42371055","HMZB-21044"],"award-info":[{"award-number":["41971060","42371055","HMZB-21044"]}]},{"name":"Xi\u2019an Land Space Ecological Restoration Investigation and Planning Project","award":["41971060","42371055","HMZB-21044"],"award-info":[{"award-number":["41971060","42371055","HMZB-21044"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Building ecological networks can effectively enhance the quality and stability of ecosystems and better conserve biodiversity. Previous studies mainly determined ecological corridors based on selecting ecological sources at a regional scale (e.g., an administrative area), without considering the bioclimatic heterogeneity within the study area. Here, we propose a novel integrating approach involving bioclimatic zoning and selecting ecological sources from various bioclimatic zones to design ecological corridors. Taking Xi\u2019an City, China, as an example, key bioclimatic variables were first chosen, and we partitioned the study area based on its bioclimatic characteristics through a combination of K-means clustering and variance inflation factor (VIF). Ecological sources were then identified from the combination of ecosystem services and habitats of 36 endangered species. Subsequently, the minimum cumulative resistance (MCR) model was used to build ecological networks within different bioclimatic zones and across the entire region. We found the following: (1) In Xi\u2019an city, a total of 49 source areas and 117 corridors were identified. The identified network can protect 97.77% of species, facilitating connectivity between 30.50% of ecosystems and 35.5% of species-rich areas. (2) The integrating approach protects 12.26% more species richness and 10.95% more ecosystem services than the average value of the regional and bioregional approaches. Compared to regional and bioregional methods, integrating approaches demonstrate greater advantages in preserving species richness and ecosystem services. This study introduces a novel approach to constructing regional ecological networks, which integrates the impact of bioclimatic zoning into the process of network construction to improve ecosystem services and protect species habitats.<\/jats:p>","DOI":"10.3390\/rs16010085","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T23:00:12Z","timestamp":1703545212000},"page":"85","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Incorporating Bioclimatic Zones into Informing Ecological Networks for Better Biodiversity Conservation"],"prefix":"10.3390","volume":"16","author":[{"given":"Jiaquan","family":"Duan","sequence":"first","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200034, China"}]},{"given":"Yue\u2019e","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200034, China"}]},{"given":"Shulin","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Xuening","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200034, China"}]},{"given":"Renqiang","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8529-1493","authenticated-orcid":false,"given":"Zhen","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0081-1394","authenticated-orcid":false,"given":"Cheng","family":"Long","sequence":"additional","affiliation":[{"name":"School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200034, China"}]},{"given":"Jichun","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"School of Architecture and Urban Planning, Qingdao University of Technology, Qingdao 266033, China"}]},{"given":"Pan","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e1500052","DOI":"10.1126\/sciadv.1500052","article-title":"Habitat fragmentation and its lasting impact on Earth\u2019s ecosystems","volume":"1","author":"Haddad","year":"2015","journal-title":"Sci. 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